↓ Skip to main content

Multiple Sclerosis: Bench to Bedside

Overview of attention for book
Attention for Chapter 1: Extracellular Vesicles in Multiple Sclerosis as Possible Biomarkers: Dream or Reality?
Altmetric Badge

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Extracellular Vesicles in Multiple Sclerosis as Possible Biomarkers: Dream or Reality?
Chapter number 1
Book title
Multiple Sclerosis: Bench to Bedside
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-47861-6_1
Pubmed ID
Book ISBNs
978-3-31-947860-9, 978-3-31-947861-6
Authors

Maria Magdalena Barreca, Emanuele Aliotta, Fabiana Geraci, Barreca, Maria Magdalena, Aliotta, Emanuele, Geraci, Fabiana

Abstract

Extracellular vesicles are recently described as specialized structures for intercellular communication. Their role in the central nervous system was diffusely studied in both physiological and pathological condition. In particular, an increased extracellular vesicle number was detected in several autoimmune diseases, including multiple sclerosis, a chronic autoimmune, inflammatory, demyelinating and neurodegenerative disease. This chapter summarizes the available information on the involvement of the extracellular vesicles in multiple sclerosis pathogenesis and their possible use as biomarker of therapy efficacy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Researcher 3 14%
Student > Master 2 9%
Student > Bachelor 1 5%
Unspecified 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 2 9%
Social Sciences 1 5%
Unspecified 1 5%
Other 2 9%
Unknown 11 50%